KPMG Senior Associate, Customer Analytics in Atlanta, Georgia

Senior Associate, Customer Analytics

San Francisco, California

Requisition #: 36550

Practice Area: Advisory

Location: San Francisco, CA; Atlanta, GA; Chicago, IL; New York, NY

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Working Mother Magazine, Diversity Inc. and others. If you're as passionate about your future as we are, join our team.

KPMG is currently seeking a Senior Associate in Customer & Operations for ourpractice.


  • Develop analytical and data mining solutions to understand key business behaviors such as customer acquisition, product up-sell, customer retention, lifetime value, channel preferences, customer experience and loyalty drivers

  • Ensure analytical solutions are tailored and implemented according to business needs and customer strategies

  • Leverage and present information design concepts to create compelling and effective charts, tables, presentations and other visuals that convey analytical results clearly and effectively

  • Participate in the active execution of engagements in compliance with service delivery standards

  • Maintain project plans, project schedules and other documentation, including sampling or experimental design plans

  • Review the work product of associates and provide direction and training as necessary


  • A minimum of three years of management consulting and industry experience in CRM/Database Marketing/Analytics Consulting, Applied Operations Research, Statistical Model development and Data Mining

  • Bachelor's degree in Economics/Econometrics, Statistics, Operations Research, Industrial Engineering, Mathematics or Business Administration from an accredited college/university; MBA or PhD preferred

  • Proven ability to show the value of analytics within business processes

  • Deep understanding of applied data mining & analytical concepts, information design/presentation development, analytics implementation statistical model development, CRM/Database Marketing/Analytics, SAS & SQL & R, and Big Data/high performance computing

  • Excellent written and verbal communication, facilitation, and presentation skills

  • Travel may be up to 80-100%

  • Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future

KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. Thecontains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

Our Benefits


KPMG offers a range of medical insurance options to meet your needs as well as prescription drug coverage, health care flexible spending accounts, and dependent day care flexible spending accounts.

Personal Time Off (PTO)

Up to 30 PTO Days per year (depending on job classification/level/years of service).


  • 401(k) and Pension Plans

  • Dependent Care Flexible Spending Account

  • Health Care Flexible Spending Account

  • Mortgage Assistance Program

  • HomeBenefits@Work Program

  • Hyatt Legal Plan

  • Benefits vary by employment status.